As we have experienced, the working range for HPLC methods is near 10 μg/ml, while the mentioned phases have very high working ranges at 75 to 300 μg/ml (Kathirvel et al. 2013) and 5 to 100 μg/ml (Sherikar and Mehta 2012).
The predictive accuracy showed a similar pattern (Figure 2B), with the predictive accuracy in the mMIC was the highest, and that in the uMIC was the lowest, except that at the CNR of 0.05 the predictive accuracies of all methods were near the chance level (i.e., 0.50) (Table S1).
These methods are nearer to true values in the SEQC sample, where the RNA content difference between samples is less significant, but all estimates are improved by incorporating enrichment fraction measurement (Additional file 4: Figure S3).
That is, if the initial guess for the optimization method is near to the global maximum, a correct convergence to it is achievable.
However, the design method is near optimal in the sense that its coding performance depends on the initial bit plane patterns.
The area estimate returned by our method is "near-optimal", meaning that the error in the estimate can be made smaller than any upfront specified value.
Interestingly, we found that CI in the non-activated method was nearest to 0 after 15 minutes whereas in kaolin-activated method was nearest to 0 after 30 minutes.
As the CI in kaolin-activated method was nearest to 0 after 30 minutes, this time period seems to be adequate for sample stabilization before analysis.
Our volunteers are healthy and thus we believe that they do not have a tendency towards hypocoagulability or hypercoagulability and their CI is 0. As the CI in the non-activated method was nearest to 0 after 15 minutes, we believe that this time is the best for stabilization of the sample to get the most valid data.
The speech recognition performance of the proposed method was near the upper bounds, and its gesture recognition performance was at the upper bounds.
